2014 IEEE 18th Workshop on Signal and Power Integrity (SPI) 2014
DOI: 10.1109/sapiw.2014.6844547
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Scattering-based nonlinear macromodels of high-speed differential drivers

Abstract: This paper introduces a scattering-based nonlinear macromodeling framework for high-speed differential drivers. Using an industrial test case, we show that the proposed scattering formulation enables more accurate and robust model identification with respect to standard voltage-current representations. The combination of proposed driver models with a Waveform Relaxation solver allows accurate and efficient transient channel simulation, including nonlinear and dynamic termination effects.

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Cited by 3 publications
(7 citation statements)
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“…As discussed in [63], common and differential incident waves form the input set of choice for the scattering-based Mπlog model for differential drivers, which consists of the following:…”
Section: B Differential Driversmentioning
confidence: 99%
See 3 more Smart Citations
“…As discussed in [63], common and differential incident waves form the input set of choice for the scattering-based Mπlog model for differential drivers, which consists of the following:…”
Section: B Differential Driversmentioning
confidence: 99%
“…Also in this case, the estimation process of (22) is standard and follows the same guidelines that apply for the identification of voltage-current models [6]. See [63] for more details on the peculiarities of scattering-based models.…”
Section: B Differential Driversmentioning
confidence: 99%
See 2 more Smart Citations
“…Specific emphasis is placed on the effects of internal voltage regulators, that unavoidably introduce a rich dynamic behavior on the output commonmode voltage. This behavior can be hardly reproduced by the existing state-of-the-art modeling solutions (e.g., IBIS [1] or Mπlog [3]- [5]). To overcome the above limitation, enhanced models based on the Mπlog class are presented and demonstrated on a high-speed driver for Gbps-range data transfer, implemented in a leading-edge silicon CMOS technology.…”
Section: Introductionmentioning
confidence: 98%